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Tytuł pozycji:

Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19.

Tytuł:
Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19.
Autorzy:
Zhu QQ; Department of Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, No. 324 Jinwu Rd, Jinan, 250021, Shandong, China.; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, Qingchun East Rd, Hangzhou, 310016, Zhejiang, China.
Gong T; Department of Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, No. 324 Jinwu Rd, Jinan, 250021, Shandong, China.
Huang GQ; Department of Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, No. 324 Jinwu Rd, Jinan, 250021, Shandong, China.; Department of Radiology, Wuhu City Second People's Hospital, No. 259 Jiuhua Rd, Wuhu, 241000, Anhui, China.
Niu ZF; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, Qingchun East Rd, Hangzhou, 310016, Zhejiang, China.
Yue T; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, Qingchun East Rd, Hangzhou, 310016, Zhejiang, China.
Xu FY; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, Qingchun East Rd, Hangzhou, 310016, Zhejiang, China.
Chen C; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, Qingchun East Rd, Hangzhou, 310016, Zhejiang, China.
Wang GB; Department of Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, No. 324 Jinwu Rd, Jinan, 250021, Shandong, China. .
Źródło:
Japanese journal of radiology [Jpn J Radiol] 2021 Jun; Vol. 39 (6), pp. 589-597. Date of Electronic Publication: 2021 Mar 22.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Tokyo : Springer
MeSH Terms:
COVID-19/*mortality
COVID-19/*pathology
Pulmonary Artery/*pathology
Adult ; COVID-19/diagnostic imaging ; Dilatation, Pathologic/diagnostic imaging ; Female ; Hospital Mortality ; Hospitalization ; Humans ; Male ; Middle Aged ; Prognosis ; Pulmonary Artery/diagnostic imaging ; ROC Curve ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
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Grant Information:
2020XGZX051 Zhejiang University special scientific research
Contributed Indexing:
Keywords: COVID-19; Death events; Pneumonia; Prognosis; Pulmonary artery trunk diameter
Entry Date(s):
Date Created: 20210322 Date Completed: 20210713 Latest Revision: 20220307
Update Code:
20240105
PubMed Central ID:
PMC7982766
DOI:
10.1007/s11604-021-01094-9
PMID:
33751417
Czasopismo naukowe
Purpose: To describe the prognostic value of pulmonary artery (PA) trunk enlargement on the admission of in-hospital patients with severe COVID-19 infection by unenhanced CT image.
Materials and Methods: In-hospital patients confirmed COVID-19 from January 18, 2020, to March 7, 2020, were retrospectively enrolled. PA trunk diameters on admission and death events were collected to calculate the optimum cutoff using a receiver operating characteristic curve. According to the cutoff, the subjects on admission were divided into two groups. Then the in-hospital various parameters were compared between the two groups to assess the predictive value of PA trunk diameter.
Results: In the 180 enrolled in-hospital patients (46.99 ± 14.95 years; 93 (51.7%) female, 14 patients (7.8%) died during their hospitalization. The optimum cutoff PA trunk diameter to predict in-hospital mortality was  > 29 mm with a sensitivity of 92.59% and a specificity of 91.11%. Kaplan-Meier survival curves for PA trunk diameter on admission showed that a PA trunk diameter  > 29 mm was a significant predictor of subsequent death (log-rank  < 0.001, median survival time of PA > 29 mm was 28 days).
Conclusion: PA trunk enlargement can be a useful predictive factor for distinguishing between mild and severe COVID-19 disease progression.
Comment in: Jpn J Radiol. 2022 Mar;40(3):334-335. (PMID: 34264419)

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